Open Access. Powered by Scholars. Published by Universities.®
Graphics and Human Computer Interfaces Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
Articles 1 - 5 of 5
Full-Text Articles in Graphics and Human Computer Interfaces
Discrete Information Object Analysis Of Primary Flight Display Clutter, Kenneth Ward
Discrete Information Object Analysis Of Primary Flight Display Clutter, Kenneth Ward
National Training Aircraft Symposium (NTAS)
Modern aircraft utilize digital display screens to provide critical flight and system status information to pilots. As computing power has increased, the number of data sources and information presented has also increased, with the goal of increasing situational awareness. However, the display can become cluttered with extraneous or irrelevant information, to the detriment of pilot cognitive workload. Pilot perceptions of clutter vary with flight experience, introducing unique considerations in the flight training environment, given the experience difference between instructors and students. Researchers have studied the problem, identifying both the number of visual objects and information density as predictors of perception …
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
The International Student Science Fair 2018
Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
Using Eeg-Validated Music Emotion Recognition Techniques To Classify Multi-Genre Popular Music For Therapeutic Purposes, Dejoy Shastikk Kumaran
The International Student Science Fair 2018
Music is observed to possess significant beneficial effects to human mental health, especially for patients undergoing therapy and older adults. Prior research focusing on machine recognition of the emotion music induces by classifying low-level music features has utilized subjective annotation to label data for classification. We validate this approach by using an electroencephalography-based approach to cross-check the predictions of music emotion made with the predictions from low-level music feature data as well as collected subjective annotation data. Collecting 8-channel EEG data from 10 participants listening to segments of 40 songs from 5 different genres, we obtain a subject-independent classification accuracy …
Investigating Trust And Trust Recovery In Human-Robot Interactions, Abigail L. Thomson
Investigating Trust And Trust Recovery In Human-Robot Interactions, Abigail L. Thomson
Celebration of Learning
As artificial intelligence and robotics continue to advance and be used in increasingly different functions and situations, it is important to look at how these new technologies will be used. An important factor in how a new resource will be used is how much it is trusted. This experiment was conducted to examine people’s trust in a robotic assistant when completing a task, how mistakes affect this trust, and if the levels of trust exhibited with a robot assistant were significantly different than if the assistant were human. The task was to watch a computer simulation of the three-cup monte …
Online Instruction Made Easy: Getting Started With The Guide On The Side, Erica Defrain
Online Instruction Made Easy: Getting Started With The Guide On The Side, Erica Defrain
UVM Libraries Conference Day
Come learn about a great new tool for easily creating effective and engaging online tutorials built around the theory of active learning. The Guide on the Side was created by librarians at the University of Arizona and released as an open source download in 2012. We hope to soon have it installed for all to use at the UVM Libraries!